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Dexiong Chen
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Cited by
Year
Structure-aware transformer for graph representation learning
D Chen, L O’Bray, K Borgwardt
International Conference on Machine Learning, 3469-3489, 2022
1802022
Graphit: Encoding graph structure in transformers
G Mialon, D Chen, M Selosse, J Mairal
arXiv preprint arXiv:2106.05667, 2021
1112021
A kernel perspective for regularizing deep neural networks
A Bietti, G Mialon, D Chen, J Mairal
International Conference on Machine Learning, 664-674, 2019
782019
A trainable optimal transport embedding for feature aggregation and its relationship to attention
G Mialon, D Chen, A d'Aspremont, J Mairal
arXiv preprint arXiv:2006.12065, 2020
602020
Convolutional kernel networks for graph-structured data
D Chen, L Jacob, J Mairal
International Conference on Machine Learning, 1576-1586, 2020
592020
Metamixup: Learning adaptive interpolation policy of mixup with metalearning
Z Mai, G Hu, D Chen, F Shen, HT Shen
IEEE transactions on neural networks and learning systems 33 (7), 3050-3064, 2021
332021
Biological sequence modeling with convolutional kernel networks
D Chen, L Jacob, J Mairal
Bioinformatics 35 (18), 3294-3302, 2019
292019
Recurrent kernel networks
D Chen, L Jacob, J Mairal
Advances in Neural Information Processing Systems 32, 2019
212019
Predicting in vitro single-neuron firing rates upon pharmacological perturbation using Graph Neural Networks
T Kim, D Chen, P Hornauer, V Emmenegger, J Bartram, S Ronchi, ...
Frontiers in Neuroinformatics 16, 1032538, 2023
42023
Approximate network motif mining via graph learning
C Oliver, D Chen, V Mallet, P Philippopoulos, K Borgwardt
arXiv preprint arXiv:2206.01008, 2022
42022
Predicting transcription factor binding sites with convolutional kernel networks
D Chen, L Jacob, J Mairal
bioRxiv 10, 217257, 2017
42017
Unsupervised manifold alignment with joint multidimensional scaling
D Chen, B Fan, C Oliver, K Borgwardt
arXiv preprint arXiv:2207.02968, 2022
32022
ProteinShake: Building datasets and benchmarks for deep learning on protein structures
T Kucera, C Oliver, D Chen, K Borgwardt
Advances in Neural Information Processing Systems 36, 2024
22024
A kernel perspective for regularizing deep neural networks. preprint
A Bietti, G Mialon, D Chen, J Mairal
arXiv preprint arXiv:1810.00363, 2019
22019
Graphit: Encoding graph structure in transformers, 2021
G Mialon, D Chen, M Selosse, J Mairal
Cited on 3 (5), 0
2
Fisher information embedding for node and graph learning
D Chen, P Pellizzoni, K Borgwardt
International Conference on Machine Learning, 4839-4855, 2023
12023
Structured Data Modeling with Deep Kernel Machines and Applications in Computational Biology
D Chen
Université Grenoble Alpes [2020-....], 2020
12020
Endowing Protein Language Models with Structural Knowledge
D Chen, P Hartout, P Pellizzoni, C Oliver, K Borgwardt
arXiv preprint arXiv:2401.14819, 2024
2024
Scalable covariance-based connectivity inference for synchronous neuronal networks
T Kim, D Chen, P Hornauer, SS Kumar, M Schröter, K Borgwardt, ...
bioRxiv, 2023.06. 17.545399, 2023
2023
Learning to mine approximate network motifs
C Oliver, D Chen, V Mallet, P Philippopoulos, K Borgwardt
2022
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Articles 1–20